Dataset statistics
| Number of variables | 18 |
|---|---|
| Number of observations | 92711 |
| Missing cells | 5 |
| Missing cells (%) | < 0.1% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 13.4 MiB |
| Average record size in memory | 152.0 B |
Variable types
| Numeric | 8 |
|---|---|
| Categorical | 10 |
Variable descriptions
| edad | Edad de los clientes. |
|---|---|
| facturacion | Dinero que pagan los clientes al mes. |
| antiguedad | Fecha de alta del cliente. |
| provincia | Provincia de los clientes. |
| num_lineas | Numero de lineas moviles contratadas. |
| num_lineas_impago | Numero de lineas en impago. |
| incidencia | SI = el cliente ha tenido alguna incidencia o reclamacion. |
| conexion | Tipo de conexion de internet del cliente. |
| vel_conexion | Velocidad de conexion de internet. |
| TV | Tipo de paquete de tv contratado por el cliente. |
| num_llamad_ent | Numero de llamadas entrantes de todas sus lineas. |
| num_llamad_sal | Numero de llamadas salientes de todas sus lineas. |
| mb_datos | Mb de los datos consumidos en todas sus lineas. |
| seg_llamad_ent | Segundos consumidos en llamadas entrantes. |
| seg_llamad_sal | Segundos consumidos en llamadas salientes. |
| financiacion | SI = el cliente tiene financiado algun terminal. |
| imp_financ | El dinero mensual que paga por los terminales financiados. |
| descuentos | SI = el cliente tiene activado algun descuento. |
antiguedad has a high cardinality: 92237 distinct values | High cardinality |
conexion is highly correlated with vel_conexion | High correlation |
vel_conexion is highly correlated with conexion | High correlation |
antiguedad is uniformly distributed | Uniform |
facturacion has unique values | Unique |
num_llamad_sal has 936 (1.0%) zeros | Zeros |
imp_financ has 86045 (92.8%) zeros | Zeros |
Reproduction
| Analysis started | 2022-05-04 15:40:28.458511 |
|---|---|
| Analysis finished | 2022-05-04 15:41:04.254840 |
| Duration | 35.8 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
edad
Real number (ℝ≥0)
Edad de los clientes.
| Distinct | 68 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 51.42923709 |
| Minimum | 18 |
|---|---|
| Maximum | 85 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 MiB |
Quantile statistics
| Minimum | 18 |
|---|---|
| 5-th percentile | 21 |
| Q1 | 34 |
| median | 51 |
| Q3 | 68 |
| 95-th percentile | 82 |
| Maximum | 85 |
| Range | 67 |
| Interquartile range (IQR) | 34 |
Descriptive statistics
| Standard deviation | 19.58591326 |
|---|---|
| Coefficient of variation (CV) | 0.380832273 |
| Kurtosis | -1.198694328 |
| Mean | 51.42923709 |
| Median Absolute Deviation (MAD) | 17 |
| Skewness | 0.001051985051 |
| Sum | 4768056 |
| Variance | 383.6079982 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=68)
| Value | Count | Frequency (%) |
| 37 | 1461 | 1.6% |
| 60 | 1431 | 1.5% |
| 72 | 1426 | 1.5% |
| 53 | 1418 | 1.5% |
| 20 | 1414 | 1.5% |
| 47 | 1404 | 1.5% |
| 24 | 1404 | 1.5% |
| 50 | 1404 | 1.5% |
| 27 | 1402 | 1.5% |
| 32 | 1402 | 1.5% |
| Other values (58) | 78545 |
| Value | Count | Frequency (%) |
| 18 | 1380 | |
| 19 | 1302 | |
| 20 | 1414 | |
| 21 | 1368 | |
| 22 | 1327 |
| Value | Count | Frequency (%) |
| 85 | 1319 | |
| 84 | 1289 | |
| 83 | 1329 | |
| 82 | 1346 | |
| 81 | 1379 |
| Distinct | 92711 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 207.4886998 |
| Minimum | 15.00043941 |
|---|---|
| Maximum | 399.9984328 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 MiB |
Quantile statistics
| Minimum | 15.00043941 |
|---|---|
| 5-th percentile | 34.47479163 |
| Q1 | 111.3683852 |
| median | 207.0893664 |
| Q3 | 304.349361 |
| 95-th percentile | 380.6885379 |
| Maximum | 399.9984328 |
| Range | 384.9979934 |
| Interquartile range (IQR) | 192.9809758 |
Descriptive statistics
| Standard deviation | 111.2394756 |
|---|---|
| Coefficient of variation (CV) | 0.5361230549 |
| Kurtosis | -1.20486072 |
| Mean | 207.4886998 |
| Median Absolute Deviation (MAD) | 96.48298181 |
| Skewness | 0.004058335396 |
| Sum | 19236484.85 |
| Variance | 12374.22094 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=80)
| Value | Count | Frequency (%) |
| 216.0281089 | 1 | < 0.1% |
| 361.0878322 | 1 | < 0.1% |
| 244.1644781 | 1 | < 0.1% |
| 178.4619084 | 1 | < 0.1% |
| 222.5037351 | 1 | < 0.1% |
| 328.7416895 | 1 | < 0.1% |
| 359.3658789 | 1 | < 0.1% |
| 260.9736906 | 1 | < 0.1% |
| 238.8083378 | 1 | < 0.1% |
| 133.0520124 | 1 | < 0.1% |
| Other values (92701) | 92701 |
| Value | Count | Frequency (%) |
| 15.00043941 | 1 | |
| 15.00449739 | 1 | |
| 15.01707741 | 1 | |
| 15.02045972 | 1 | |
| 15.02213553 | 1 |
| Value | Count | Frequency (%) |
| 399.9984328 | 1 | |
| 399.9974432 | 1 | |
| 399.9915826 | 1 | |
| 399.9852974 | 1 | |
| 399.9835731 | 1 |
| Distinct | 92237 |
|---|---|
| Distinct (%) | 99.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 MiB |
| 01/07/2020 03:55 PM | 3 |
|---|---|
| 01/09/2020 02:33 PM | 3 |
| 01/14/2020 05:08 PM | 3 |
| 01/25/2020 12:51 PM | 3 |
| 01/19/2020 04:57 PM | 3 |
| Other values (92232) |
Length
| Max length | 19 |
|---|---|
| Median length | 19 |
| Mean length | 19 |
| Min length | 19 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 91769 ? |
|---|---|
| Unique (%) | 99.0% |
Sample
| 1st row | 11/23/2018 08:48 AM |
|---|---|
| 2nd row | 08/22/2017 03:19 AM |
| 3rd row | 12/27/2001 01:50 PM |
| 4th row | 08/08/2015 10:53 AM |
| 5th row | 11/04/1997 11:43 AM |
Common Values
| Value | Count | Frequency (%) |
| 01/07/2020 03:55 PM | 3 | < 0.1% |
| 01/09/2020 02:33 PM | 3 | < 0.1% |
| 01/14/2020 05:08 PM | 3 | < 0.1% |
| 01/25/2020 12:51 PM | 3 | < 0.1% |
| 01/19/2020 04:57 PM | 3 | < 0.1% |
| 01/07/2020 10:37 PM | 3 | < 0.1% |
| 01/15/2020 07:33 AM | 2 | < 0.1% |
| 01/18/2008 12:49 AM | 2 | < 0.1% |
| 01/27/2020 11:04 PM | 2 | < 0.1% |
| 10/14/2003 04:41 AM | 2 | < 0.1% |
| Other values (92227) | 92685 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| pm | 46394 | 16.7% |
| am | 46317 | 16.7% |
| 01/05/2020 | 174 | 0.1% |
| 12:37 | 165 | 0.1% |
| 01:44 | 163 | 0.1% |
| 01/03/2020 | 163 | 0.1% |
| 03:54 | 161 | 0.1% |
| 01/10/2020 | 161 | 0.1% |
| 01:08 | 159 | 0.1% |
| 02:00 | 159 | 0.1% |
| Other values (9874) | 184117 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
provincia
Categorical
Provincia de los clientes.
| Distinct | 50 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 MiB |
| Valencia | 1941 |
|---|---|
| Asturias | 1934 |
| Murcia | 1931 |
| Navarra | 1930 |
| Zaragoza | 1927 |
| Other values (45) |
Length
| Max length | 22 |
|---|---|
| Median length | 7 |
| Mean length | 7.603596121 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | La Rioja |
|---|---|
| 2nd row | Vizcaya |
| 3rd row | Albacete |
| 4th row | Lugo |
| 5th row | Huelva |
Common Values
| Value | Count | Frequency (%) |
| Valencia | 1941 | 2.1% |
| Asturias | 1934 | 2.1% |
| Murcia | 1931 | 2.1% |
| Navarra | 1930 | 2.1% |
| Zaragoza | 1927 | 2.1% |
| Málaga | 1924 | 2.1% |
| Alicante | 1895 | 2.0% |
| Orense | 1891 | 2.0% |
| Guipúzcoa | 1886 | 2.0% |
| Zamora | 1879 | 2.0% |
| Other values (40) | 73573 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| la | 3683 | 3.4% |
| valencia | 1941 | 1.8% |
| asturias | 1934 | 1.8% |
| murcia | 1931 | 1.8% |
| navarra | 1930 | 1.8% |
| zaragoza | 1927 | 1.8% |
| málaga | 1924 | 1.8% |
| alicante | 1895 | 1.8% |
| orense | 1891 | 1.8% |
| guipúzcoa | 1886 | 1.8% |
| Other values (47) | 86560 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
num_lineas
Categorical
Numero de lineas moviles contratadas.
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 MiB |
| 3 | |
|---|---|
| 4 | |
| 5 | |
| 2 | |
| 1 | 2759 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 5 |
|---|---|
| 2nd row | 3 |
| 3rd row | 4 |
| 4th row | 4 |
| 5th row | 4 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 29071 | |
| 4 | 25927 | |
| 5 | 22161 | |
| 2 | 12793 | |
| 1 | 2759 | 3.0% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 3 | 29071 | |
| 4 | 25927 | |
| 5 | 22161 | |
| 2 | 12793 | |
| 1 | 2759 | 3.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
num_lineas_impago
Categorical
Numero de lineas en impago.
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 MiB |
| 0.0 | |
|---|---|
| 4.0 | 685 |
| 3.0 | 652 |
| 2.0 | 639 |
| 1.0 | 638 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 0.0 |
| 4th row | 0.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 90097 | |
| 4.0 | 685 | 0.7% |
| 3.0 | 652 | 0.7% |
| 2.0 | 639 | 0.7% |
| 1.0 | 638 | 0.7% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0.0 | 90097 | |
| 4.0 | 685 | 0.7% |
| 3.0 | 652 | 0.7% |
| 2.0 | 639 | 0.7% |
| 1.0 | 638 | 0.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
incidencia
Categorical
SI = el cliente ha tenido alguna incidencia o reclamacion.
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 MiB |
| NO | |
|---|---|
| SI | 1991 |
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | NO |
|---|---|
| 2nd row | NO |
| 3rd row | NO |
| 4th row | NO |
| 5th row | NO |
Common Values
| Value | Count | Frequency (%) |
| NO | 90720 | |
| SI | 1991 | 2.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| no | 90720 | |
| si | 1991 | 2.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
num_llamad_ent
Real number (ℝ≥0)
Numero de llamadas entrantes de todas sus lineas.
| Distinct | 251 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 125.1098359 |
| Minimum | 0 |
|---|---|
| Maximum | 250 |
| Zeros | 389 |
| Zeros (%) | 0.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 12 |
| Q1 | 62 |
| median | 125 |
| Q3 | 188 |
| 95-th percentile | 238 |
| Maximum | 250 |
| Range | 250 |
| Interquartile range (IQR) | 126 |
Descriptive statistics
| Standard deviation | 72.42107473 |
|---|---|
| Coefficient of variation (CV) | 0.5788599608 |
| Kurtosis | -1.196924576 |
| Mean | 125.1098359 |
| Median Absolute Deviation (MAD) | 63 |
| Skewness | 0.003331937553 |
| Sum | 11599058 |
| Variance | 5244.812065 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=80)
| Value | Count | Frequency (%) |
| 188 | 443 | 0.5% |
| 243 | 420 | 0.5% |
| 158 | 416 | 0.4% |
| 226 | 409 | 0.4% |
| 62 | 407 | 0.4% |
| 144 | 407 | 0.4% |
| 139 | 406 | 0.4% |
| 159 | 405 | 0.4% |
| 228 | 405 | 0.4% |
| 203 | 405 | 0.4% |
| Other values (241) | 88588 |
| Value | Count | Frequency (%) |
| 0 | 389 | |
| 1 | 375 | |
| 2 | 323 | |
| 3 | 356 | |
| 4 | 349 |
| Value | Count | Frequency (%) |
| 250 | 390 | |
| 249 | 402 | |
| 248 | 391 | |
| 247 | 373 | |
| 246 | 374 |
| Distinct | 101 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 49.85895956 |
| Minimum | 0 |
|---|---|
| Maximum | 100 |
| Zeros | 936 |
| Zeros (%) | 1.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 5 |
| Q1 | 25 |
| median | 50 |
| Q3 | 75 |
| 95-th percentile | 95 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 50 |
Descriptive statistics
| Standard deviation | 29.20854901 |
|---|---|
| Coefficient of variation (CV) | 0.5858234761 |
| Kurtosis | -1.204273467 |
| Mean | 49.85895956 |
| Median Absolute Deviation (MAD) | 25 |
| Skewness | 0.008586540307 |
| Sum | 4622474 |
| Variance | 853.1393351 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=80)
| Value | Count | Frequency (%) |
| 100 | 998 | 1.1% |
| 25 | 980 | 1.1% |
| 37 | 971 | 1.0% |
| 14 | 970 | 1.0% |
| 38 | 970 | 1.0% |
| 72 | 968 | 1.0% |
| 35 | 968 | 1.0% |
| 89 | 967 | 1.0% |
| 5 | 964 | 1.0% |
| 24 | 962 | 1.0% |
| Other values (91) | 82993 |
| Value | Count | Frequency (%) |
| 0 | 936 | |
| 1 | 913 | |
| 2 | 907 | |
| 3 | 896 | |
| 4 | 951 |
| Value | Count | Frequency (%) |
| 100 | 998 | |
| 99 | 895 | |
| 98 | 909 | |
| 97 | 915 | |
| 96 | 906 |
mb_datos
Real number (ℝ≥0)
Mb de los datos consumidos en todas sus lineas.
| Distinct | 24393 |
|---|---|
| Distinct (%) | 26.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 12510.1905 |
| Minimum | 0 |
|---|---|
| Maximum | 25000 |
| Zeros | 3 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1250.5 |
| Q1 | 6232.5 |
| median | 12526 |
| Q3 | 18742 |
| 95-th percentile | 23748 |
| Maximum | 25000 |
| Range | 25000 |
| Interquartile range (IQR) | 12509.5 |
Descriptive statistics
| Standard deviation | 7217.671483 |
|---|---|
| Coefficient of variation (CV) | 0.5769433716 |
| Kurtosis | -1.200950925 |
| Mean | 12510.1905 |
| Median Absolute Deviation (MAD) | 6260 |
| Skewness | -0.003898539754 |
| Sum | 1159832271 |
| Variance | 52094781.64 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=80)
| Value | Count | Frequency (%) |
| 13465 | 12 | < 0.1% |
| 22543 | 12 | < 0.1% |
| 18137 | 12 | < 0.1% |
| 23818 | 12 | < 0.1% |
| 10063 | 12 | < 0.1% |
| 6257 | 12 | < 0.1% |
| 12180 | 11 | < 0.1% |
| 4350 | 11 | < 0.1% |
| 8048 | 11 | < 0.1% |
| 19894 | 11 | < 0.1% |
| Other values (24383) | 92595 |
| Value | Count | Frequency (%) |
| 0 | 3 | |
| 1 | 6 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 25000 | 6 | |
| 24999 | 4 | |
| 24998 | 1 | < 0.1% |
| 24997 | 3 | |
| 24996 | 6 |
seg_llamad_ent
Real number (ℝ≥0)
Segundos consumidos en llamadas entrantes.
| Distinct | 19815 |
|---|---|
| Distinct (%) | 21.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9985.382781 |
| Minimum | 0 |
|---|---|
| Maximum | 20000 |
| Zeros | 8 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1014 |
| Q1 | 4960 |
| median | 9998 |
| Q3 | 14981 |
| 95-th percentile | 18998 |
| Maximum | 20000 |
| Range | 20000 |
| Interquartile range (IQR) | 10021 |
Descriptive statistics
| Standard deviation | 5774.903324 |
|---|---|
| Coefficient of variation (CV) | 0.5783356983 |
| Kurtosis | -1.200962746 |
| Mean | 9985.382781 |
| Median Absolute Deviation (MAD) | 5010 |
| Skewness | 0.004930637947 |
| Sum | 925754823 |
| Variance | 33349508.4 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=80)
| Value | Count | Frequency (%) |
| 1863 | 16 | < 0.1% |
| 2676 | 16 | < 0.1% |
| 1883 | 14 | < 0.1% |
| 14137 | 14 | < 0.1% |
| 3979 | 14 | < 0.1% |
| 17210 | 14 | < 0.1% |
| 15036 | 13 | < 0.1% |
| 1557 | 13 | < 0.1% |
| 18311 | 13 | < 0.1% |
| 8851 | 13 | < 0.1% |
| Other values (19805) | 92571 |
| Value | Count | Frequency (%) |
| 0 | 8 | |
| 1 | 5 | |
| 2 | 2 | < 0.1% |
| 3 | 4 | |
| 4 | 3 | < 0.1% |
| Value | Count | Frequency (%) |
| 20000 | 5 | |
| 19999 | 4 | |
| 19998 | 4 | |
| 19997 | 7 | |
| 19996 | 7 |
seg_llamad_sal
Real number (ℝ≥0)
Segundos consumidos en llamadas salientes.
| Distinct | 19798 |
|---|---|
| Distinct (%) | 21.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10030.44396 |
| Minimum | 0 |
|---|---|
| Maximum | 20000 |
| Zeros | 6 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1002 |
| Q1 | 5010 |
| median | 10037 |
| Q3 | 15036 |
| 95-th percentile | 19011 |
| Maximum | 20000 |
| Range | 20000 |
| Interquartile range (IQR) | 10026 |
Descriptive statistics
| Standard deviation | 5786.754197 |
|---|---|
| Coefficient of variation (CV) | 0.5769190496 |
| Kurtosis | -1.203101787 |
| Mean | 10030.44396 |
| Median Absolute Deviation (MAD) | 5016 |
| Skewness | -0.00466271821 |
| Sum | 929932490 |
| Variance | 33486524.14 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=80)
| Value | Count | Frequency (%) |
| 19562 | 15 | < 0.1% |
| 8315 | 15 | < 0.1% |
| 75 | 14 | < 0.1% |
| 14760 | 14 | < 0.1% |
| 13760 | 13 | < 0.1% |
| 4828 | 13 | < 0.1% |
| 9090 | 13 | < 0.1% |
| 16371 | 13 | < 0.1% |
| 13878 | 13 | < 0.1% |
| 16149 | 13 | < 0.1% |
| Other values (19788) | 92575 |
| Value | Count | Frequency (%) |
| 0 | 6 | |
| 1 | 5 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 20000 | 4 | |
| 19999 | 7 | |
| 19998 | 6 | |
| 19997 | 3 | < 0.1% |
| 19996 | 8 |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 2 |
| Missing (%) | < 0.1% |
| Memory size | 1.4 MiB |
| ADSL | |
|---|---|
| FIBRA |
Length
| Max length | 5 |
|---|---|
| Median length | 4 |
| Mean length | 4.497459794 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | FIBRA |
|---|---|
| 2nd row | FIBRA |
| 3rd row | ADSL |
| 4th row | FIBRA |
| 5th row | FIBRA |
Common Values
| Value | Count | Frequency (%) |
| ADSL | 46590 | |
| FIBRA | 46119 | |
| (Missing) | 2 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| adsl | 46590 | |
| fibra | 46119 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 11 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 3 |
| Missing (%) | < 0.1% |
| Memory size | 1.4 MiB |
| 200MB | |
|---|---|
| 600MB | |
| 300MB | |
| 50MB | |
| 100MB | |
| Other values (6) |
Length
| Max length | 5 |
|---|---|
| Median length | 4 |
| Mean length | 4.398584804 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 50MB |
|---|---|
| 2nd row | 600MB |
| 3rd row | 35MB |
| 4th row | 200MB |
| 5th row | 200MB |
Common Values
| Value | Count | Frequency (%) |
| 200MB | 9342 | |
| 600MB | 9299 | |
| 300MB | 9212 | |
| 50MB | 9167 | |
| 100MB | 9099 | |
| 20MB | 7882 | |
| 25MB | 7840 | |
| 10MB | 7807 | |
| 30MB | 7761 | |
| 35MB | 7672 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 200mb | 9342 | |
| 600mb | 9299 | |
| 300mb | 9212 | |
| 50mb | 9167 | |
| 100mb | 9099 | |
| 20mb | 7882 | |
| 25mb | 7840 | |
| 10mb | 7807 | |
| 30mb | 7761 | |
| 35mb | 7672 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
TV
Categorical
Tipo de paquete de tv contratado por el cliente.
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 MiB |
| tv-futbol | |
|---|---|
| tv-familiar | |
| tv-total |
Length
| Max length | 11 |
|---|---|
| Median length | 9 |
| Mean length | 9.560300288 |
| Min length | 8 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | tv-futbol |
|---|---|
| 2nd row | tv-futbol |
| 3rd row | tv-futbol |
| 4th row | tv-familiar |
| 5th row | tv-futbol |
Common Values
| Value | Count | Frequency (%) |
| tv-futbol | 46191 | |
| tv-familiar | 32822 | |
| tv-total | 13698 | 14.8% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| tv-futbol | 46191 | |
| tv-familiar | 32822 | |
| tv-total | 13698 | 14.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
financiacion
Categorical
SI = el cliente tiene financiado algun terminal.
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 MiB |
| NO | |
|---|---|
| SI | 6666 |
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | NO |
|---|---|
| 2nd row | NO |
| 3rd row | NO |
| 4th row | NO |
| 5th row | NO |
Common Values
| Value | Count | Frequency (%) |
| NO | 86045 | |
| SI | 6666 | 7.2% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| no | 86045 | |
| si | 6666 | 7.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 6667 |
|---|---|
| Distinct (%) | 7.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.601432833 |
| Minimum | 0 |
|---|---|
| Maximum | 39.99195402 |
| Zeros | 86045 |
| Zeros (%) | 92.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.4 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 15.3968231 |
| Maximum | 39.99195402 |
| Range | 39.99195402 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 6.366160907 |
|---|---|
| Coefficient of variation (CV) | 3.975290612 |
| Kurtosis | 17.59324097 |
| Mean | 1.601432833 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 4.244524075 |
| Sum | 148470.4394 |
| Variance | 40.5280047 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=80)
| Value | Count | Frequency (%) |
| 0 | 86045 | |
| 10.24354491 | 1 | < 0.1% |
| 18.59953244 | 1 | < 0.1% |
| 26.95092346 | 1 | < 0.1% |
| 16.98623804 | 1 | < 0.1% |
| 33.63331701 | 1 | < 0.1% |
| 5.816686074 | 1 | < 0.1% |
| 15.95684633 | 1 | < 0.1% |
| 27.30485137 | 1 | < 0.1% |
| 13.80874237 | 1 | < 0.1% |
| Other values (6657) | 6657 | 7.2% |
| Value | Count | Frequency (%) |
| 0 | 86045 | |
| 5.009998664 | 1 | < 0.1% |
| 5.013309309 | 1 | < 0.1% |
| 5.021417588 | 1 | < 0.1% |
| 5.025074875 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 39.99195402 | 1 | |
| 39.99012758 | 1 | |
| 39.98897814 | 1 | |
| 39.98756476 | 1 | |
| 39.97837601 | 1 |
descuentos
Categorical
SI = el cliente tiene activado algun descuento.
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 MiB |
| NO | |
|---|---|
| SI |
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | NO |
|---|---|
| 2nd row | SI |
| 3rd row | SI |
| 4th row | NO |
| 5th row | NO |
Common Values
| Value | Count | Frequency (%) |
| NO | 72673 | |
| SI | 20038 | 21.6% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| no | 72673 | |
| si | 20038 | 21.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| edad | facturacion | antiguedad | provincia | num_lineas | num_lineas_impago | incidencia | num_llamad_ent | num_llamad_sal | mb_datos | seg_llamad_ent | seg_llamad_sal | conexion | vel_conexion | TV | financiacion | imp_financ | descuentos | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 63 | 216.028109 | 11/23/2018 08:48 AM | La Rioja | 5 | 0.0 | NO | 95 | 19 | 6525 | 7634 | 18520 | FIBRA | 50MB | tv-futbol | NO | 0.000000 | NO |
| 1 | 84 | 255.830842 | 08/22/2017 03:19 AM | Vizcaya | 3 | 0.0 | NO | 44 | 36 | 14471 | 14541 | 8016 | FIBRA | 600MB | tv-futbol | NO | 0.000000 | SI |
| 2 | 66 | 135.768153 | 12/27/2001 01:50 PM | Albacete | 4 | 0.0 | NO | 94 | 27 | 1428 | 5248 | 7106 | ADSL | 35MB | tv-futbol | NO | 0.000000 | SI |
| 3 | 69 | 255.658527 | 08/08/2015 10:53 AM | Lugo | 4 | 0.0 | NO | 186 | 20 | 20083 | 7372 | 5052 | FIBRA | 200MB | tv-familiar | NO | 0.000000 | NO |
| 4 | 51 | 99.348645 | 11/04/1997 11:43 AM | Huelva | 4 | 0.0 | NO | 37 | 32 | 19078 | 5009 | 8686 | FIBRA | 200MB | tv-futbol | NO | 0.000000 | NO |
| 5 | 55 | 88.062883 | 06/14/1996 01:44 AM | Lérida | 4 | 0.0 | NO | 78 | 96 | 3032 | 5118 | 11695 | ADSL | 25MB | tv-futbol | SI | 31.553269 | NO |
| 6 | 21 | 73.076377 | 07/02/2004 12:35 PM | La Coruña | 4 | 0.0 | NO | 183 | 9 | 16442 | 7771 | 13478 | ADSL | 30MB | tv-futbol | NO | 0.000000 | NO |
| 7 | 30 | 395.481514 | 03/26/2018 10:22 PM | Alicante | 3 | 0.0 | NO | 152 | 16 | 17184 | 10493 | 11638 | ADSL | 35MB | tv-total | NO | 0.000000 | NO |
| 8 | 64 | 391.692196 | 09/15/2004 01:49 AM | Córdoba | 5 | 0.0 | NO | 97 | 43 | 10961 | 10288 | 13798 | ADSL | 10MB | tv-futbol | NO | 0.000000 | SI |
| 9 | 80 | 199.380443 | 07/26/2011 01:33 AM | Las Palmas | 2 | 0.0 | NO | 187 | 41 | 14428 | 9837 | 14834 | FIBRA | 100MB | tv-total | NO | 0.000000 | SI |
Last rows
| edad | facturacion | antiguedad | provincia | num_lineas | num_lineas_impago | incidencia | num_llamad_ent | num_llamad_sal | mb_datos | seg_llamad_ent | seg_llamad_sal | conexion | vel_conexion | TV | financiacion | imp_financ | descuentos | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 92701 | 55 | 316.728460 | 05/01/2011 11:41 PM | Asturias | 5 | 0.0 | NO | 143 | 34 | 4551 | 18534 | 9 | ADSL | 10MB | tv-total | SI | 28.355596 | NO |
| 92702 | 75 | 32.297445 | 12/02/2008 03:40 AM | Tarragona | 2 | 0.0 | NO | 96 | 14 | 296 | 2761 | 9241 | FIBRA | 200MB | tv-futbol | NO | 0.000000 | NO |
| 92703 | 58 | 375.658420 | 06/09/2016 09:39 PM | Santa Cruz de Tenerife | 5 | 0.0 | NO | 141 | 11 | 6740 | 4596 | 11926 | FIBRA | 100MB | tv-total | NO | 0.000000 | NO |
| 92704 | 32 | 15.570680 | 01/18/2013 12:54 PM | Tarragona | 2 | 0.0 | NO | 173 | 58 | 3128 | 18340 | 2873 | FIBRA | 200MB | tv-futbol | NO | 0.000000 | SI |
| 92705 | 65 | 173.741667 | 03/05/2019 12:00 AM | Murcia | 5 | 0.0 | NO | 42 | 17 | 3943 | 10085 | 14566 | ADSL | 35MB | tv-familiar | SI | 23.138779 | NO |
| 92706 | 36 | 215.890326 | 04/09/2013 01:33 PM | Guadalajara | 3 | 0.0 | NO | 217 | 96 | 9059 | 7735 | 8823 | ADSL | 30MB | tv-futbol | NO | 0.000000 | NO |
| 92707 | 68 | 285.890750 | 08/08/2003 11:57 PM | Asturias | 5 | 0.0 | NO | 168 | 99 | 9303 | 4798 | 3996 | FIBRA | 200MB | tv-futbol | SI | 14.616422 | NO |
| 92708 | 20 | 383.167610 | 03/27/2013 08:07 PM | Álava | 4 | 0.0 | NO | 188 | 71 | 19018 | 1237 | 16720 | ADSL | 20MB | tv-futbol | NO | 0.000000 | NO |
| 92709 | 53 | 53.301395 | 01/18/2020 02:30 AM | Sevilla | 2 | 0.0 | NO | 138 | 40 | 20264 | 10552 | 17637 | FIBRA | 50MB | tv-futbol | NO | 0.000000 | NO |
| 92710 | 18 | 57.158927 | 10/22/2009 07:17 PM | Las Palmas | 4 | 0.0 | NO | 217 | 65 | 21772 | 14141 | 927 | ADSL | 25MB | tv-familiar | NO | 0.000000 | SI |